Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Varun Jampani

Varun Jampani

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation


Apr 05, 2021
Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim

* Accepted to CVPR2021 
  Access Paper or Ask Questions

There and back again: Cycle consistency across sets for isolating factors of variation


Mar 04, 2021
Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

Figure 1 for There and back again: Cycle consistency across sets for isolating factors of variation
Figure 2 for There and back again: Cycle consistency across sets for isolating factors of variation
Figure 3 for There and back again: Cycle consistency across sets for isolating factors of variation
Figure 4 for There and back again: Cycle consistency across sets for isolating factors of variation

  Access Paper or Ask Questions

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image


Dec 18, 2020
Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa

Figure 1 for Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
Figure 2 for Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
Figure 3 for Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
Figure 4 for Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
* Project page at https://infinite-nature.github.io/ 
  Access Paper or Ask Questions

NeRD: Neural Reflectance Decomposition from Image Collections


Dec 08, 2020
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch

Figure 1 for NeRD: Neural Reflectance Decomposition from Image Collections
Figure 2 for NeRD: Neural Reflectance Decomposition from Image Collections
Figure 3 for NeRD: Neural Reflectance Decomposition from Image Collections
Figure 4 for NeRD: Neural Reflectance Decomposition from Image Collections

  Access Paper or Ask Questions

Improving Deep Stereo Network Generalization with Geometric Priors


Aug 25, 2020
Jialiang Wang, Varun Jampani, Deqing Sun, Charles Loop, Stan Birchfield, Jan Kautz

Figure 1 for Improving Deep Stereo Network Generalization with Geometric Priors
Figure 2 for Improving Deep Stereo Network Generalization with Geometric Priors
Figure 3 for Improving Deep Stereo Network Generalization with Geometric Priors
Figure 4 for Improving Deep Stereo Network Generalization with Geometric Priors

  Access Paper or Ask Questions

Generative View Synthesis: From Single-view Semantics to Novel-view Images


Aug 20, 2020
Tewodros Habtegebrial, Varun Jampani, Orazio Gallo, Didier Stricker

Figure 1 for Generative View Synthesis: From Single-view Semantics to Novel-view Images
Figure 2 for Generative View Synthesis: From Single-view Semantics to Novel-view Images
Figure 3 for Generative View Synthesis: From Single-view Semantics to Novel-view Images
Figure 4 for Generative View Synthesis: From Single-view Semantics to Novel-view Images

  Access Paper or Ask Questions

DeepGMR: Learning Latent Gaussian Mixture Models for Registration


Aug 20, 2020
Wentao Yuan, Ben Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz

Figure 1 for DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Figure 2 for DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Figure 3 for DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Figure 4 for DeepGMR: Learning Latent Gaussian Mixture Models for Registration
* ECCV 2020 spotlight 
  Access Paper or Ask Questions

Appearance Consensus Driven Self-Supervised Human Mesh Recovery


Aug 04, 2020
Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu

Figure 1 for Appearance Consensus Driven Self-Supervised Human Mesh Recovery
Figure 2 for Appearance Consensus Driven Self-Supervised Human Mesh Recovery
Figure 3 for Appearance Consensus Driven Self-Supervised Human Mesh Recovery
Figure 4 for Appearance Consensus Driven Self-Supervised Human Mesh Recovery
* ECCV 2020 (Oral) 
  Access Paper or Ask Questions

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition


Jul 01, 2020
Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother

Figure 1 for Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition
Figure 2 for Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition
Figure 3 for Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition
Figure 4 for Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition

  Access Paper or Ask Questions

From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks


May 05, 2020
K L Navaneet, Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu

Figure 1 for From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
Figure 2 for From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
Figure 3 for From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
Figure 4 for From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
* Accepted to CVPR 2020; Codes are available at https://github.com/val-iisc/ssl_3d_recon 
  Access Paper or Ask Questions

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis


Apr 09, 2020
Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty

Figure 1 for Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Figure 2 for Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Figure 3 for Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Figure 4 for Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
* CVPR 2020 (Oral) 
  Access Paper or Ask Questions

Self-Supervised Viewpoint Learning From Image Collections


Apr 03, 2020
Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz

Figure 1 for Self-Supervised Viewpoint Learning From Image Collections
Figure 2 for Self-Supervised Viewpoint Learning From Image Collections
Figure 3 for Self-Supervised Viewpoint Learning From Image Collections
Figure 4 for Self-Supervised Viewpoint Learning From Image Collections
* Accepted at CVPR 20 
  Access Paper or Ask Questions

Two-shot Spatially-varying BRDF and Shape Estimation


Apr 01, 2020
Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz

Figure 1 for Two-shot Spatially-varying BRDF and Shape Estimation
Figure 2 for Two-shot Spatially-varying BRDF and Shape Estimation
Figure 3 for Two-shot Spatially-varying BRDF and Shape Estimation
Figure 4 for Two-shot Spatially-varying BRDF and Shape Estimation

  Access Paper or Ask Questions

Self-supervised Single-view 3D Reconstruction via Semantic Consistency


Mar 13, 2020
Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz

Figure 1 for Self-supervised Single-view 3D Reconstruction via Semantic Consistency
Figure 2 for Self-supervised Single-view 3D Reconstruction via Semantic Consistency
Figure 3 for Self-supervised Single-view 3D Reconstruction via Semantic Consistency
Figure 4 for Self-supervised Single-view 3D Reconstruction via Semantic Consistency
* Codes and other resources will be released at: https://sites.google.com/view/unsup-mesh/home 
  Access Paper or Ask Questions

SENSE: a Shared Encoder Network for Scene-flow Estimation


Oct 27, 2019
Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz

Figure 1 for SENSE: a Shared Encoder Network for Scene-flow Estimation
Figure 2 for SENSE: a Shared Encoder Network for Scene-flow Estimation
Figure 3 for SENSE: a Shared Encoder Network for Scene-flow Estimation
Figure 4 for SENSE: a Shared Encoder Network for Scene-flow Estimation
* International Conference on Computer Vision 2019 
 * ICCV 2019 Oral 
  Access Paper or Ask Questions

Learning Propagation for Arbitrarily-structured Data


Sep 25, 2019
Sifei Liu, Xueting Li, Varun Jampani, Shalini De Mello, Jan Kautz

Figure 1 for Learning Propagation for Arbitrarily-structured Data
Figure 2 for Learning Propagation for Arbitrarily-structured Data
Figure 3 for Learning Propagation for Arbitrarily-structured Data
Figure 4 for Learning Propagation for Arbitrarily-structured Data
* ICCV 2019 
  Access Paper or Ask Questions

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation


Jul 12, 2019
Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler

Figure 1 for Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Figure 2 for Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Figure 3 for Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Figure 4 for Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
* Project Website: https://nv-tlabs.github.io/GSCNN/ 
  Access Paper or Ask Questions

SCOPS: Self-Supervised Co-Part Segmentation


May 03, 2019
Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz

Figure 1 for SCOPS: Self-Supervised Co-Part Segmentation
Figure 2 for SCOPS: Self-Supervised Co-Part Segmentation
Figure 3 for SCOPS: Self-Supervised Co-Part Segmentation
Figure 4 for SCOPS: Self-Supervised Co-Part Segmentation
* Accepted in CVPR 2019. Project page: http://varunjampani.github.io/scops 
  Access Paper or Ask Questions

Pixel-Adaptive Convolutional Neural Networks


Apr 10, 2019
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz

Figure 1 for Pixel-Adaptive Convolutional Neural Networks
Figure 2 for Pixel-Adaptive Convolutional Neural Networks
Figure 3 for Pixel-Adaptive Convolutional Neural Networks
Figure 4 for Pixel-Adaptive Convolutional Neural Networks
* CVPR 2019. Video introduction: https://youtu.be/gsQZbHuR64o 
  Access Paper or Ask Questions

Boosting segmentation with weak supervision from image-to-image translation


Apr 04, 2019
Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz

Figure 1 for Boosting segmentation with weak supervision from image-to-image translation
Figure 2 for Boosting segmentation with weak supervision from image-to-image translation
Figure 3 for Boosting segmentation with weak supervision from image-to-image translation
Figure 4 for Boosting segmentation with weak supervision from image-to-image translation

  Access Paper or Ask Questions

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation


Oct 07, 2018
Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black

Figure 1 for Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Figure 2 for Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Figure 3 for Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Figure 4 for Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

  Access Paper or Ask Questions

Superpixel Sampling Networks


Jul 26, 2018
Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz

Figure 1 for Superpixel Sampling Networks
Figure 2 for Superpixel Sampling Networks
Figure 3 for Superpixel Sampling Networks
Figure 4 for Superpixel Sampling Networks
* ECCV2018. Project URL: https://varunjampani.github.io/ssn/ 
  Access Paper or Ask Questions

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation


Jul 13, 2018
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, Jan Kautz

Figure 1 for Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Figure 2 for Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Figure 3 for Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Figure 4 for Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
* CVPR 2018 
 * CVPR 2018 version with minor revisions and supplementary material included. Project page http://jianghz.me/projects/superslomo 
  Access Paper or Ask Questions

SPLATNet: Sparse Lattice Networks for Point Cloud Processing


May 09, 2018
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz

Figure 1 for SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Figure 2 for SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Figure 3 for SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Figure 4 for SPLATNet: Sparse Lattice Networks for Point Cloud Processing
* Camera-ready, accepted to CVPR 2018 (oral); project website: http://vis-www.cs.umass.edu/splatnet/ 
  Access Paper or Ask Questions

Switchable Temporal Propagation Network


May 04, 2018
Sifei Liu, Guangyu Zhong, Shalini De Mello, Jinwei Gu, Varun Jampani, Ming-Hsuan Yang, Jan Kautz

Figure 1 for Switchable Temporal Propagation Network
Figure 2 for Switchable Temporal Propagation Network
Figure 3 for Switchable Temporal Propagation Network
Figure 4 for Switchable Temporal Propagation Network

  Access Paper or Ask Questions

Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization


Apr 23, 2018
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, Stan Birchfield

Figure 1 for Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Figure 2 for Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Figure 3 for Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Figure 4 for Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
* CVPR 2018 Workshop on Autonomous Driving 
  Access Paper or Ask Questions

On the Integration of Optical Flow and Action Recognition


Dec 22, 2017
Laura Sevilla-Lara, Yiyi Liao, Fatma Guney, Varun Jampani, Andreas Geiger, Michael J. Black

Figure 1 for On the Integration of Optical Flow and Action Recognition
Figure 2 for On the Integration of Optical Flow and Action Recognition
Figure 3 for On the Integration of Optical Flow and Action Recognition
Figure 4 for On the Integration of Optical Flow and Action Recognition

  Access Paper or Ask Questions

Semantic Video CNNs through Representation Warping


Aug 10, 2017
Raghudeep Gadde, Varun Jampani, Peter V. Gehler

Figure 1 for Semantic Video CNNs through Representation Warping
Figure 2 for Semantic Video CNNs through Representation Warping
Figure 3 for Semantic Video CNNs through Representation Warping
Figure 4 for Semantic Video CNNs through Representation Warping
* ICCV 2017 
  Access Paper or Ask Questions

Video Propagation Networks


Apr 11, 2017
Varun Jampani, Raghudeep Gadde, Peter V. Gehler

Figure 1 for Video Propagation Networks
Figure 2 for Video Propagation Networks
Figure 3 for Video Propagation Networks
Figure 4 for Video Propagation Networks
* Appearing in Computer Vision and Pattern Recognition, 2017 (CVPR'17) 
  Access Paper or Ask Questions

Superpixel Convolutional Networks using Bilateral Inceptions


Aug 08, 2016
Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler

Figure 1 for Superpixel Convolutional Networks using Bilateral Inceptions
Figure 2 for Superpixel Convolutional Networks using Bilateral Inceptions
Figure 3 for Superpixel Convolutional Networks using Bilateral Inceptions
Figure 4 for Superpixel Convolutional Networks using Bilateral Inceptions
* European Conference on Computer Vision (ECCV), 2016 
  Access Paper or Ask Questions